Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sfc-gh-dflippo/snowflake-dbt-demo --skill fixergit clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/fixer)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/fixer"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/fixer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/fixer"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/fixer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.02957 |
| Opus 5 | $0.00023 | $0.01478 |
| Sonnet 5 | $0.00009 | $0.00591 |
| Haiku 4.5 | $0.00005 | $0.00296 |
Grade A, and why
powerbi-fixer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fix Unsupported Power BI Queries
Complete the SnowConvert Power BI repointing process by converting "Unsupported" queries to Snowflake-compatible Power Query (M) code.
Important: Snowflake connection details (account, warehouse, database) are automatically extracted from PBIT parameters (SF_SERVER_LINK, SF_WAREHOUSE_NAME, SF_DB_NAME). Do NOT ask the user for these values.
External Scripts
This skill uses external scripts in the scripts/ directory and MCP tool modes:
- Python scripts:
extract-pbit.py,verify-output.py,verify-parameters.py,extract-current-pbit.py,prepare-queries-for-llm.py,reassemble-pbit.py,display-results.py,update-assessment-report.py - MCP tool:
pbit_repointing(Rust, in thesnowflake-migrationMCP server) with modes:apply_translations,build_inventory,cleanup
All scripts use only standard library and run cross-platform (macOS / Linux / Windows). Intermediate files live under <project_dir>/artifacts/pbit/ (set via SCAI_PROJECT_DIR env var).
Parameters
| Parameter | Description | Source |
|---|---|---|
<OUTPUT_FOLDER> |
Project root containing artifacts/ and reports/ |
Auto-detected from MCP configure → project_dir |
<SOURCE_DIALECT> |
Source SQL dialect for translation | Auto-detected from MCP configure → source_language |
<SNOWFLAKE_ACCOUNT> |
Snowflake account identifier | Parameter reference in PBIT (SF_SERVER_LINK) |
<SNOWFLAKE_WAREHOUSE> |
Warehouse name | Parameter reference in PBIT (SF_WAREHOUSE_NAME) |
<SNOWFLAKE_DATABASE> |
Target database | Parameter reference in PBIT (SF_DB_NAME) |
<SNOWFLAKE_ROLE> |
Optional Snowflake role | Parameter reference in PBIT (SF_ROLE) — auto-injected if missing |
Critical:
- DO NOT ask the user for: Output folder, source dialect, Snowflake account, warehouse, database, or schema values
- All values are auto-detected from the MCP session configuration or extracted from the PBIT file
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- reference/llm-translation-guide.md 30 KB
- reference/multi-source-translation-guide.md 7.1 KB
- reference/teradata-m-query-pattern-samples.md 13 KB
- reference/validate-dynamic-query.md 5.1 KB
- scripts/_console.py 418 B runs code
- scripts/display-results.py 1.4 KB runs code
- scripts/extract-current-pbit.py 1.4 KB runs code
- scripts/extract-pbit.py 1.1 KB runs code
- scripts/prepare-queries-for-llm.py 7.2 KB runs code
- scripts/reassemble-pbit.py 2.1 KB runs code
- scripts/update-assessment-report.py 4.2 KB runs code
- scripts/verify-output.py 1.1 KB runs code
- scripts/verify-parameters.py 8.1 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 315 lines · 46 tokens per session scan A cd7d2d04b37c
powerbi-fixer is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed 3d ago), licensed Apache-2.0. It adds 46 tokens to every session and 2,957 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.
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